Quant Researcher

What You’ll Do

• Onboard, clean, evaluate, and structure new financial and alternative datasets
• Use AI agents to accelerate alpha research, hypothesis generation, and strategy testing
• Develop systematic investment strategies from research concept through validation
• Analyze performance, risk, robustness, and implementation constraints of research outputs
• Work with engineering to improve KelAI’s research workflows and agent capabilities
• Support forward deployment with hedge funds and institutional investors by translating real research workflows into product and research requirements

What We’re Looking For

• 3-5 years of experience in quantitative research, systematic investing, data science, or a related field
• Strong understanding of financial markets, alpha research, backtesting, and portfolio construction
• Experience working with large financial datasets and research pipelines
• Strong Python skills and ability to move independently from data exploration to tested research output
• Interest in applying AI agents to investment research and systematic strategy development
• Strong communication skills and ability to work with both technical teams and investment users